Regular biography
Martin Rajman is a Senior Scientist at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences. His research interests include Artificial Intelligence, Computational Linguistics, and Data-driven Probabilistic Machine Learning. He has been involved in various industry-research collaborations, including work with e-Bay and Elsevier. Rajman has authored or co-authored over 100 publications and previously directed the Computer Science Series of EPFL-Press. He is also the EPFL Ambassador to digitalswitzerland and former Executive Director of Nano-Tera.ch, a Swiss research program funding collaborative projects in Health and the Environment.
Scholar-generated biography
Martin Rajman is a Senior Researcher at EPFL with expertise in Artificial Intelligence, Natural Language Processing, and Probabilistic Machine Learning. His research focuses on text mining, knowledge extraction from unstructured data, and scalable peer-to-peer retrieval systems. He has developed methods for natural language processing, including part-of-speech tagging, parsing algorithms, and speech recognition. His work also explores the use of probabilistic models for text analysis and information retrieval. Rajman's contributions span both theoretical and applied aspects of AI, with an emphasis on practical implementations in areas such as smart-home systems and full-text retrieval engines.